OpenAI API

https://beta.openai.com/

by gdb • 6 years ago

516 159 6 years ago

beta.openai.com

alphagrep12345• 6 years ago

Interesting to see this. Is this similar to Google and Azure's ML apis?

ericlewis• 6 years ago

Exciting!

m_ke4• 6 years ago

I guess Sama plans on manufacturing growth metrics by forcing YC companies to pretend that they're using this.

Generic machine learning APIs are a shitty business to get into unless you plan on hiring a huge sales team and selling to dinosaurs or doing a ton of custom consulting work, which doesn't scale the way VCs like it to. Anybody who will have enough know how to use their API properly can jus grab an open source model and tune it on their own data.

If they plan on commercializing things they should focus on building real products.

wildermuthn6• 6 years ago

I imagine they’re considering offering GPT-3, which would be cost prohibitive to fine-tune for most people. I also I heard inference was too slow to be practical. Perhaps they have some FPGA magic up their Microsoft sleeves.

m_ke4• 6 years ago

Nobody is putting these huge models in production, even the smaller transformer models are still too expensive to run for most use cases.

With the way the field is moving, GPT-3 will be old news in a month, when more advances are made and open sourced.

antris2• 6 years ago

Not everyone wants to be an admin to their infrastructure. Real existing services like Heroku and Squarespace exist as useful services because even though you might know how to design and build a website from scratch, sometimes you just need something done quickly without too much worrying about details of the system that do not matter for your project at this point. I really don't see how this wouldn't apply to AI projects as well.

I could make a much better site coding my own website from scratch and setting up servers myself, but for some projects I wouldn't even think about it that way, because using Heroku or Squarespace I can save a LOT of time and get the results I need much quicker.

m_ke4• 6 years ago

That's true, but machine learning models are not twilio or sendgrid, you have to tune them for your use case, monitor their performance and handle the uncertainty of their outputs. Doing that well requires a data scientist and if you have one they will be much more productive iterating on their own models instead of depending on a 3rd party black box.

dang• 6 years ago

I guess Sama plans on manufacturing growth metrics by forcing YC companies to pretend that they're using this.

That's wrong in almost too many ways to list. Sam left YC over a year ago, nor would he do such a thing. Nor does YC have that kind of power over companies, nor would it use it that way if it did. That would be wrong and also dumb.

m_ke4• 6 years ago

Sorry, that was supposed to be sarcastic. What I meant to say is that Sam has a huge network and is a phone call away from pitching any CEO in the valley. One of the biggest benefits of YC these days is the huge network of companies in your portfolio, which makes getting intros and pilots a lot easier, leading to "traction" and more VC dollars.

lerax• 6 years ago

Natural Language Shell seems fun

owenshen24• 6 years ago

Seems potentially more simple to get up and running then the Azure and Google Cloud alternatives which seemed involved when I last tried them.

andyljones• 6 years ago

Concrete numbers from the various pullouts:

They saw ratings hover around 60% with their original, in-house tech — this improved by 7-8% with GPT-2 — and is now in the 80-90% range with the API.
The F1 score of its crisis classifier went up from .76 to .86, and the accuracy went up to 96%.
With OpenAI, Algolia was able to answer complex natural language questions accurately 4x as often as it was using BERT.

I think the most informative are the first two, but the most _important_ is the final comparison with BERT (a Google model). I am, uh, a little worried about how fast things will progress if language models go from a fun lil research problem to a killer app for your cloud platform. $10m per training run isn't much in the face of a $100bn gigatech R&D budget.

grogenaut2• 6 years ago

$10m per training run gets me a lot of engineering time to build our own version of this system and lease it to other customers. Just skip one training run and I've got a pretty good team.

ganstyles• 6 years ago

Putting aside the question of whether it would ever be a choice between spending $10M on a training run and hiring a team for $10M, GPT transformers were the end result of decades of language research and innovations. You’re making it sound as though you can build the next iteration past GPT-3 for $10M, which I don’t think is the case.

brainless• 6 years ago

This is what I submitted for beta list:

I want to create a software that can generate new code given business case hints, by studying existing open source code and their documentation.

I know this is vague, but sounds like what we eventually want for ourselves right?

anaganisk• 6 years ago

Remember how Microsoft trained their bot from reddit comments and it went anti human? Well I guess I have to start dropping hints for the skynet in all my repos.

historyremade2• 6 years ago

"Powered by Azure" -- Elon clearly distrust Amazon.

jfoster3• 6 years ago

Elon is no longer part of OpenAI. Microsoft invested $1b.

https://en.wikipedia.org/wiki/OpenAI

benatkin• 6 years ago

Does this mean Microsoft isn't going to sue their customers for patent infringement?

historyremade2• 6 years ago

It's not just OpenAI, most of his ventures uses Azure.

Grimm12• 6 years ago

Awesome! Just signed onto the wait list.

zitterbewegung4• 6 years ago

Looks like OpenAI is going head to head with huggingface.

This makes a lot of sense and it seems they are telegraphing to monetize what they have been doing. It also seems like this is why they don't release their models in a timely manner.

minimaxir4• 6 years ago

The notable difference is that the base Huggingface library is open source, so you could in theory build something similar or more custom to the OpenAI API internally (which then falls into the typical cost/benefit analysis of doing so).

zitterbewegung4• 6 years ago

So its like Github vs Gitlab which makes more sense. I can see huggingface have a hosted version because now you can share your models on their platform.

zitterbewegung4• 6 years ago

Wow I actually used your code to do experiments to synthesize tweets. I didn't realize you responded to my comment!

mcemilg• 6 years ago

From AGI to money machine...

gumby• 6 years ago

I miss the opposite: the old openAI gym and other testbeds. I still don’t know why they shut those down.

What alternatives do people like?

mcrider• 6 years ago

Whoa -- Speech to bash commands? That's a pretty novel idea to me with my limited awareness of NLP. I could see this same idea in a lot of technical applications -- Provisioning cloud infrastructure, creating a database query.. Very cool!

nickswalker• 6 years ago

Cool indeed! While language-to-code (where code is a regular, general-purpose language) has only recently started to be workable, text-to-SQL has been a long running application/research area for semantic parsing.

Some interesting papers and datasets:

NL2Bash: https://arxiv.org/abs/1802.08979

Spider: https://yale-lily.github.io/spider

jorgemf• 6 years ago

It is not a novel idea and I don't think it is practical. If the natural language was practical for bash we would already have already "list directory" instead of "ls" and so on. "ls" is just 3 keystrokes while the natural language option is 15, 5 times more.

chabad360• 6 years ago

It could be useful for learning tho (but at that point it could also become a crutch).

kredd• 6 years ago

I was imagining more of a "list of files that contain word "hello" in them at least 5 times". Would be useful to easily write longer and pipe-chained commands, especially for people that don't use bash-like scripting on a daily basis.

dreamer7• 6 years ago

But the character length would matter less when you can move to the speech domain.

ls is 2 syllables list dir is also 2 syllables with more meaning.

Ultimately, with natural language, the effectiveness seems to be when it is coupled with speech-to-text

sterlind• 6 years ago

It could be good for programmers who can't type and have to use voice. I couldn't use my hands much for a couple months, and the state of the art for voice access.. leaves something to be desired. If I lose function for longer in the future I'd need something like that.

fudged71• 6 years ago

Can they train it to write regex commands too? That would be useful

sytse• 6 years ago

An API that will try to answer any natural language question is a mind blowing idea. This is a universal thinking interface more than an application programming one.

typon• 6 years ago

This is incredible. I can't tell how much this is cherry-picked examples vs. revolutionary new tech.

spookyuser• 6 years ago

Yeah I can't tell exactly which ones but I really feel like some of the OpenAI demos of products could be potentially huge if fleshed out.

gdb3• 6 years ago

agakshat• 6 years ago

It’s been a long time coming, but I am curious to see how OpenAI’s research output is directed and impacted by market forces.

minimaxir4• 6 years ago

Since the demos on this page use zero-shot learning and the used model has a 2020-05-03 timestamp, that implies this API is using some form of GPT-3: https://news.ycombinator.com/item?id=23345379 (EDIT: the accompanying blog post confirms that: https://openai.com/blog/openai-api/ )

Recently, OpenAI set the GPT-3 GitHub repo to read-only: https://github.com/openai/gpt-3

Taken together, this seems to imply that GPT-3 was more intended for a SaaS such as this, and it's less likely that it will be open-sourced like GPT-2 was.

wildermuthn6• 6 years ago

But since the resources required for training such a model are only available to well-funded entities, it seems like offering the model as an API while releasing the original source-code is the best practical method of getting the model into the hands of people who would otherwise not have access?

minimaxir4• 6 years ago

That depends on which GPT-3 model they're using, and from both the API and the blog page, it's unclear.

Easy access to the 175B model would indeed be valuable, but it's entirely possible they're using a smaller variant for this API.

gwern3• 6 years ago

It's worth noting that at least one of the demos is not few-shot: the code completion one notes it was trained on Github.

wildermuthn6• 6 years ago

In one of their examples, they note “They saw ratings hover around 60% with their original, in-house tech — this improved by 7-8% with GPT-2 — and is now in the 80-90% range with the API.”

Bloomberg reports the API is based on GPT-3 and “other language models”.

If that’s true, this is a big deal, and it epitomizes OpenAI’s namesake. The largest NLP models require vast corporate resources to train, let alone put into production. Offering the largest model ever trained (with near-Turing results for some tasks) is a democratization of technology that would otherwise have been restricted to well-funded organizations.

Although the devil will be in the details of pricing and performance, this is a step worthy of respect. And it bodes well for the future.

azinman25• 6 years ago

It's only Open™️ if I can run the API on my own machines.

sudosysgen• 6 years ago

Indeed. I really don't understand how proprietary SaaS is "Open". It's just as locked down as IBM Watson and even moreso than Google's WaveNet-aaS.

madcowd• 6 years ago

If big LM's are the future then even if you had the model you couldn't run it on your own machines without having a DGX or two laying around.

cercatrova3• 6 years ago

Run the model yourself and you can.

denster• 6 years ago

Agreed on the democratization front!

We saw this OpenAI demo: https://player.vimeo.com/video/427943452

and were just blown away. Very cool!!

I guess a spreadsheet is never too old [1] to learn new tricks :)

[1] Founder of https://mintdata.com here, so a bit biased (& opinionated about) spreadsheets, take the above with a pound or 10 of salt.

[2] I've sent them this example how we'd invoke their APIs, hopefully they'll let us into the beta, fingers crossed :) https://mintdata.com/docs/learn/core-mechanics/work-with-dat...

grizzlemeelmo• 6 years ago

Here's the Bloomberg story https://www.bloomberg.com/news/articles/2020-06-11/trillions...

YeGoblynQueenne3• 6 years ago

How is this "democratization"? OpenAI trains a model, then they make it available through an API. You have no say in what that model is trained on or how (other than to say whether they can use your data- but not how), neither can you modify the model according to your needs. And of course, with no ability to modify the product you're buying you have no opportunity to innovate. You can wrap it up in a different kind of application, sure, but the nature and number of applications that it can be wrapped up in is restricted by the abilities of the model and therefore is entirely dependent on the choices made by OpenAI.

Imagine MS saying they "democratised" operating systems because, hey, you can buy their binaries, so everyone can use their operating system. Compare that kind of "democratisation" with open source oSs.

No, the truth is that as more and more resources are necessary to wring the last few drops of performance out of the current generation of deep neural net models it is only large, well-funded companies that have the resources to innovate - and everyone else is forced to follow in their wake. Any expectations that progress would lead to "democratisation" of deep neural networks research has gone out the window.

wildermuthn6• 6 years ago

Odd analogy to use with Microsoft Windows, since GPT-3’s source is available, along with a series of papers that enables anyone with the money and knowledge to implement it themselves.

krallistic2• 6 years ago

I wonder if there are any legal complications in the transition from a non-profit to a regular company (especially from a tax perspective)

LockAndLol• 6 years ago

It'd be great if OpenAI also introduced CAPTCHA. I'd be much more willing and understanding to resolve those than anything Google makes.

dmvaldman5• 6 years ago

AGI in text is < 3yrs away.

Barrin923• 6 years ago

there's zero understanding in any of this. This is still just superficial text parsing essentially. Show me progress on Winograd schema and I'd be impressed. It hasn't got anything to do with AGI, this is application of ML to very traditional NLP problems.

dmvaldman5• 6 years ago

i think you are assuming that what is happening under the hood is that a human-inputted sentence is being parsed into a grammar. it is not.

gwern3• 6 years ago

Show me progress on Winograd schema and I'd be impressed.

The paper evaluated Winograds: https://arxiv.org/pdf/2005.14165.pdf#page=16

azinman25• 6 years ago

What breakthrough occurred?

dmvaldman5• 6 years ago

Zero shot and few-shot learning in GPT-3 and lack of significant diminishing returns in scaling text models. Zero-shot learning is equivalent to saying "i'm just going to ask the model something that it was not trained to do"

chundicus• 6 years ago

I'm skeptical. Amazing progress has been made in the last 5-10 years but it still feels like we need more paradigm shifting in the ML/AI field. It feels like we're approaching the upper limits of what stuffing mountains of data into model can do.

But with the speed of the field, maybe we can figure it out in three years. It just seems like we're still missing some key components. Primarily, reasoning and learning causality.

eggsnbacon13• 6 years ago

OpenAI started as a non-profit, went for-profit. Still owned by the big players.... Something isn't right.

Is OpenAI just a submarine so the tech giants can do unethical research without taking blame??? Its textbook misdirection, nonprofit and "Open" in the name, hero-esque mission statement. How do you make the mental leap from "we're non-profit and we won't release things too dangerous" to "JK we're for-profit and now that GPT is good enough to use its for sale!!". You don't. This was the plan the whole time.

GPT and facial recognition used for shady shit? Blame OpenAI. Not the consortium of tech giants that directly own it. It may just be a conspiracy theory but something smells very rotten to me. Like OpenAI is a simple front so big names can dodge culpability for their research.

gobengo• 6 years ago

It looks like a similar organizational structure as Mozilla Foundation + Mozilla Corporation.

eggsnbacon13• 6 years ago

They redefined the org from non-profit to "capped profit", whatever that means.

They're directly selling GPT 3 even though they originally said they wouldn't release it because of potential bad uses.

They paid MS a ton of money for hardware and got a huge equity investment from them.

And lets be honest here, the easiest and most straight-forward use of GPT3 is generating spam and low quality clickbait. Its the only use case that requires zero effort. The whole thing is built to generate fake but believable text. Its DeepFakes for text.

I'm not saying the whole thing is nefarious and evil, just suggesting that OpenAI may not be what it seems. There's a lot of odd things going on with it. They should have done what universities do, spin off the technology into a different for-profit company and sell it. Instead of redefining their entire org structure to make money.

ape4• 6 years ago

If that's the case, they need to change they're name.

etaioinshrdlu• 6 years ago

I think it's simply because OpenAI is fundamentally created and controlled by venture capitalists, and the tech they created turned out to be just too juicy an opportunity to not monetize.

I can’t say I blame them, when they realize they are sitting on the technological equivalent of a mountain of gold. What would you do?

seph-reed3• 6 years ago

sitting on the technological equivalent of a mountain of gold. What would you do?

Greed is not justified. I get that people are weak, selfish, they can't stop themselves. Some feel sympathy because they've been weak too. "Maybe it's justified," they like to think. "Everybody lies." But seriously, those who care so much about money and power they can't do things in a civilized respectable way: they are not yet an adult and must be hard barred from the upper tiers of capitalism until they learn that life does not revolve around them.

I blame them for being shitty, and blame everyone around them for letting it happen.

swyx2• 6 years ago

wow you just made the connection for me. GPT2 was too dangerous to release, and now GPT3 is so much better - is there no point at which things become too dangerous anymore? what was the conclusion on that one?

simonkafan• 6 years ago

GPT2 being "too dangerous to release" was a marketing stunt from the very beginning.

minimaxir4• 6 years ago

The blog post directly addresses this question: https://openai.com/blog/openai-api/

What specifically will OpenAI do about misuse of the API, given what you’ve previously said about GPT-2?
We will terminate API access for use-cases that cause physical or mental harm to people, including but not limited to harassment, intentional deception, radicalization, astroturfing, or spam; as we gain more experience operating the API in practice we expect to expand and refine these categories.

sailingparrot2• 6 years ago

so the tech giants can do unethical research

I know it's trendy (and partly justified) to look down on OpenAI, but can you actually give any basis for this claim?

What kind of research is OpenAI doing that all the other big AI players (Google/DeepMind, FB, Microsoft) aren't also invested in? And even if others are doing the same, what part of OpenAI's research do you consider unethical?

It may just be a conspiracy theory

Yea, it very much looks like that to be honest.

eggsnbacon13• 6 years ago

What kind of research is OpenAI doing that all the other big AI players (Google/DeepMind, FB, Microsoft) aren't also invested in? And even if others are doing the same, what part of OpenAI's research do you consider unethical?

I believe all of them are doing unethical research, especially facial recognition. Notice the public backpedaling this week from all the big tech companies on this too. By directing their cash through OpenAI they can avoid whatever fallout comes from unleashing things like GPT3 on the world.

The most straightforward use case for GPT3 is generating fake but believable text. AKA spam. That's what it was designed to do. If you think fake news is a problem now, wait till someone is generating a dozen fake but believable news articles per minute by seeding GPT3 with a few words and hitting a button.

Its a conspiracy theory with some circumstantial evidence. We will probably never know either way, because who would admit to it if it was true.

zitterbewegung4• 6 years ago

GPT-2 is hard to do "shady" things right now (speaking from experience)[1] but maybe GPT-3 might do better?

I could get poems to generate well. Tweets were a bit harder but I don't think we are at the point where you could just use a generative model to fool people that would be cheaper than actually hiring someone to write fake news. (Also shameless plug below)

[1] 1400 - TALK.8 - "A way to make fake tweets using GPT2" - Joshua Jay Herman https://thotcon.org/schedule.html

markshepard• 6 years ago

Well said. I think they need to change the name. It is misleading on many levels.

codekilla• 6 years ago

A reshuffling might give: NopeAI or PeonAI

solinent• 6 years ago

Based on my experience with non-profits, they are just like regular corps except they don't pay taxes, and they're always attached to a for-profit interest. The real community organizations don't tend to incorporate, as then you have to hire people to manage the corp or do it yourself.

This OpenAI work is almost certainly a way for these bigger corps to collude. Proving that would be impossible, though.

throwaway7281• 6 years ago

When I learned that Sam Altman (sorry Sam) was involved, I understood the direction, you mentioned.

And yes, there is often no need to call something open explicitly, if it really is. Is into OpenOS, or just Linux?

aivosha3• 6 years ago

More fake news and generated AI content there is more people would stop trusting social media. It will saturate to that tipping point that humanity will need to find more genuine ways to communicate. So I say bring it on.

jamiek88• 6 years ago

Yeah bring the noise floor up so high that signal is lost.

Burn all social media to the ground, I say.

kamikazehosaki• 6 years ago

OpenAI seems like a completely disingenuous organization. They have some of the best talent in Machine Learning, but the leadership seems completely clueless.

1) (on cluelessness) If Sama/GDB were as smart as they claim to be, would they not have realized it is impossible to run a non profit research lab which is effectively trying "to compete" with DeepMind.

2) (on disingenuity) The original openAI charter made OpenAI an organization that was trying to save the world from nefarious actors and uses of AI. Who were such users? To me it seemed like, entities with vastly superior compute resources who were using the latest AI technologies for presumably profit oriented goals. There are few organizations in the world like that, namely FAANG, and their international counterparts. Originally OpenAI sounded incredibly appealing to me, and a lot of us here. But if their leadership had more forethought, they would perhaps not have made this promise. But given the press, and the money they accrued, it has now become impossible to go back on this charter. So the only way to get themselves out of the whole they dug into was by making it into a for profit research lab. And by commercializing perhaps a more superior version of the tools Microsoft, Google and the other large AI organizations are commercializing, is OpenAI any different from them?

How do we know OpenAI will not be the bad actor that is going to abuse AI given their self interest?

All we have is their charter to go by. But given how they are constantly "re-inventing" their organizational structure, what grounds do we have to trust them?

Do we perhaps need a new Open OpenAI? One that we can actually trust? One that is actually transparent with their research process? One that actually releases their code, and papers and has no interest in commercializing that? Oh, that's right, we already have that -- research labs at AI focused schools like MIT, Stanford, BAIR and CMU.

I am quite wary of this organization, and I would encourage other HN readers to think more careful about what they are doing here.

chillee• 6 years ago

Why is it "impossible"? Academic labs are non-profit, and they are also effectively trying "to compete" with DeepMind.

dna_polymerase• 6 years ago

Have a look at this discussion and the article from earlier today [0]. Of course, a singular lab could compete with something DeepMind does, but not without massive amounts of money in their pockets. The state of the art has become pretty expensive, really fast.

[0] https://news.ycombinator.com/item?id=23486163

sytelus• 6 years ago

Natural language search is approximately $100B business. This might be first AI application that changes the search landscape from 1990s and finally puts an end to the question “where is money in AI?”.

nick_araph• 6 years ago

It seems like a step towards OpenAI becoming something like a utility provider for AI capabilities

say_it_as_it_is2• 6 years ago

OpenAI started off wide-eyed and idealistic but it made the mistake of taking on investors for a non-profit mission. A non-profit requires sponsors, not investors. Investors have a fiduciary responsibility to maximize profits, not achieve social missions of open AI for all.

gdb3• 6 years ago

OpenAI LP, our "capped-profit" entity which has taken investment, has a fiduciary duty to the OpenAI Charter: https://openai.com/blog/openai-lp/

say_it_as_it_is2• 6 years ago

Mind changed. Keep leading the way!

zmitri• 6 years ago

What happened to working on AI for the good of humanity, including AGI, and making sure it didn’t fall into the hands of bad actors? Wasn’t that the original aspiration? Now this reads like next generation Intercom/Olark tools.

organicfigs3• 6 years ago

On a side note, has anyone noticed a lack of diversity on the group photo on their careers page: https://openai.com/content/images/2020/04/openai-offsite-jul...

I remember coming across it not too long ago and felt unwelcomed/disappointed.

forgot_user1234• 6 years ago

Has anyone noticed a substantial rise in people noticing skin colour ?

freediver2• 6 years ago

Define diversity?

organicfigs3• 6 years ago

fwiw my best friends are SE Asian (not Chinese), white, black, and Mexican. I didn't feel this photo is as equally representative of that diversity. I'm not making a case it has any obligation to do so, just noting that it impacted my decision to not apply here a while ago.

shitgoose• 6 years ago

1. Just apply and you will find out if you are welcome or not. Do not assume. 2. Asians are not diverse enough? There are plenty on the photo.

JoeAltmaier• 6 years ago

I dunno - looks fairly representative of the Silicon Valley population demographic. Maybe not so much an issue with this company? I notice (as usual) under-representation of women. But that's endemic to the industry.

organicfigs3• 6 years ago

To an extent I agree that most startups are made up of Caucasians/Chinese males, I think one of the reasons I left tech professionally is because I didn't feel comfortable/enjoy the lack of diversity.

d_burfoot• 6 years ago

In NLP there is a very clear and powerful new paradigm: train a HUGE language model using vast amounts of raw text. Then to solve the problem of interest, either fine-tune the model by training on your specific dataset (usually quite small), or 0/1-shot the learning somehow.

The crucial question is : is this paradigm viable for OTHER types of data?

My hypothesis is YES. If you train a HUGE image model using vast quantities of raw images, you will then be able to REUSE that model to work for specific computer vision problems, either by fine-tuning or 0/1-shotting.

I'm especially optimistic that this paradigm will work for image streams from autonomous vehicles. Classic supervised learning has proved to be difficult if not impossible to get to work for AV vision, so the new paradigm could be a game-changer.

gwern3• 6 years ago

My hypothesis is YES. If you train a HUGE image model using vast quantities of raw images, you will then be able to REUSE that model to work for specific computer vision problems, either by fine-tuning or 0/1-shotting.

This has been demonstrated for many years, it's not news. Many of the SOTAs like BiT require pretraining on JFT-300M, or Instagram, or what have you.

canjobear• 6 years ago

The pretraining approach was used in vision for years before it was successful in NLP.

julien_c• 6 years ago

Not really on unsupervised/self-supervised data though, right?

(nor on the same scale of corpora, as far as I can tell)

jaimex22• 6 years ago

"OpenAI technology, just an HTTPS call away"

'an' is only mean to proceed a vowel. Should say

"OpenAI technology, just a HTTPS call away"

chad_oliver• 6 years ago

This depends how you pronounce 'h'. If you pronounce it "aitch", then "an HTTPS" is correct. If you pronounce it "haitch", then "a HTTPS" is correct. There's no universal pronunciation, and therefore no universally-right answer.

wfme• 6 years ago

It depends how you pronounce "H". If you pronounce it aitch instead of haitch then using "an" in this context is totally correct. https://blog.apastyle.org/apastyle/2012/04/using-a-or-an-wit....

jaimex22• 6 years ago

You're right! Wow, I never realised rules get changed by pronunciation before. It's not vowels at all but whatever sounds like one in the writers mind.

nutanc2• 6 years ago

Why are there no live examples on the page. All I see is video presentations and some cached API response.

Is it a confidence problem? Are the OpenAI folks not confident on a single use case? Or did I miss the live demo somewhere?

gdb3• 6 years ago

You can use the API live in multiple products, such as AI Dungeon (https://play.aidungeon.io/)!

nutanc2• 6 years ago

Thanks Greg. Will check it out. Would love to see AI move from the "it's fun" zone to "make some money" zone soon though. We are all invested in the success of AI :)

dalys• 6 years ago

I just sent in a request to join the waiting list, for the company I work at, Kognity. The potential for this in the EdTech field is mindblowingly amazing!

There are a few good examples of educational help on the list but it's really only scratching the surface.

I'm really excited and hope Kognity and EdTech in general can use this for even more value-full (both for students and teachers) tasks soon.

danielscrubs• 6 years ago

It seems it has translation. How does it compare to Google Translate?

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